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Claude Sonnet 5 vs Gemma 4 31B

Claude Sonnet 5 leads Gemma 4 31B on coding, 57.7 to 39.0 on the Vibe Coding Index, and Gemma 4 31B costs 25.0x less per output token ($0.40 vs $10.00 per million). Updated October 21, 2026; 63 benchmarks have a result for both.

Claude Sonnet 5Anthropic
Coding
57.7
Overall
63.2
Output $/M
$10.00
52
Gemma 4 31BGoogle
Coding
39.0
Overall
42.1
Output $/M
$0.40
11
vs boards won of 63 shared

Claude Sonnet 5 or Gemma 4 31B: which to pick

Pick Claude Sonnet 5 for coding: it scores 57.7 on the Vibe Coding Index against 39.0 for Gemma 4 31B.

Pick Gemma 4 31B for output tokens 25.0x cheaper ($0.40 vs $10.00 per million) and work measured by LMArena Text: medicine and healthcare or SAGE (Vals AI), where it leads.

Shared results
63
Claude Sonnet 5 only
58
Gemma 4 31B only
8
Like-for-like categories
8 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
Claude Sonnet 5 57.7 from 6 benchmarks, Gemma 4 31B 39.0 from 2 benchmarks.
Widest category
Agentic work, 42.9 points apart on average over 4 shared benchmarks.
Widest single gap
LiveBench browser: Claude Sonnet 5 72.0% against Gemma 4 31B 4.0%, 68.0 points apart on a 0 to 100 scale.
Output price
Claude Sonnet 5 $10.00 against Gemma 4 31B $0.40 per million output tokens, 25.0x apart.
Context window
Claude Sonnet 5 takes 1M tokens, Gemma 4 31B 262K.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryClaude Sonnet 5BarsGemma 4 31BTies
Coding110
Intelligence20
Agentic work40
Reasoning90
Math30
Knowledge51
Web design10
General1710
All shared boards5211
CodingLike-for-likeSix of these boards feed the Vibe Coding Index110
Coding benchmarks for Claude Sonnet 5 and Gemma 4 31B
BenchmarkClaude Sonnet 5Gemma 4 31BLeader
LiveBench coding74.7%49.0%Claude Sonnet 5
LMArena WebDev15401367Claude Sonnet 5
AA Coding Index71.543.4Claude Sonnet 5
LiveCodeBench (Vals AI)82.4%Not measuredOnly Claude Sonnet 5 measured
SWE-bench Verified (Vals AI)79.6%Not measuredOnly Claude Sonnet 5 measured
Terminal-Bench 4 (Vals AI)10.6%Not measuredOnly Claude Sonnet 5 measured
Vibe Code Bench (Vals AI)81.3%Not measuredOnly Claude Sonnet 5 measured
Code migration (Vals AI)44.4%Not measuredOnly Claude Sonnet 5 measured
ProgramBench (Vals AI)0.0%Not measuredOnly Claude Sonnet 5 measured
IOI (Vals AI)45.0%Not measuredOnly Claude Sonnet 5 measured
Terminal-Bench 2.1 (Vals AI)74.5%Not measuredOnly Claude Sonnet 5 measured
Vibe Code Bench 1-100 (Vals AI)13.8%Not measuredOnly Claude Sonnet 5 measured
SkillsBench (Vals AI)46.5%Not measuredOnly Claude Sonnet 5 measured
CyberBench (Vals AI)70.3%Not measuredOnly Claude Sonnet 5 measured
SciCode54.3%45.5%Claude Sonnet 5
Terminal-Bench Hard (Artificial Analysis run)Not measured36.4%Only Gemma 4 31B measured
FrontierCode42.7%Not measuredOnly Claude Sonnet 5 measured
GSO-Bench37.3%Not measuredOnly Claude Sonnet 5 measured
WeirdML68.8%52.3%Claude Sonnet 5
ALE-Bench1463.1925.5Claude Sonnet 5
LMArena Text: coding14831459Claude Sonnet 5
LMArena Text: software and IT14741463Claude Sonnet 5
LMArena WebDev: React15411359Claude Sonnet 5
LMArena WebDev: HTML15271380Claude Sonnet 5
LMArena WebDev: from an image1540Not measuredOnly Claude Sonnet 5 measured
SciCode10.7%8.9%Claude Sonnet 5
Neither model has a result on the other 13 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Sonnet 5 and Gemma 4 31B
BenchmarkClaude Sonnet 5Gemma 4 31BLeader
AA Intelligence Index38.214.7Claude Sonnet 5
Epoch Capabilities Index156.9143.0Claude Sonnet 5
Agentic workLike-for-likePublic boards, shown as published, kept out of the index40
Agentic work benchmarks for Claude Sonnet 5 and Gemma 4 31B
BenchmarkClaude Sonnet 5Gemma 4 31BLeader
AA Agentic Index43.64.2Claude Sonnet 5
Design Arena: agents building web apps1245Not measuredOnly Claude Sonnet 5 measured
Design Arena: agents building full-stack apps1249Not measuredOnly Claude Sonnet 5 measured
Design Arena: agents building mobile apps1215Not measuredOnly Claude Sonnet 5 measured
Design Arena: agents building Android apps1225Not measuredOnly Claude Sonnet 5 measured
Design Arena: agents building Godot games1225Not measuredOnly Claude Sonnet 5 measured
Design Arena: agents building games1227Not measuredOnly Claude Sonnet 5 measured
Design Arena: HTML slides1218Not measuredOnly Claude Sonnet 5 measured
Design Arena: PowerPoint slides1216Not measuredOnly Claude Sonnet 5 measured
Design Arena: spreadsheets1021Not measuredOnly Claude Sonnet 5 measured
LiveBench research82.8%44.4%Claude Sonnet 5
LiveBench browser72.0%4.0%Claude Sonnet 5
LiveBench long agentic39.0%13.3%Claude Sonnet 5
SREBench (Vals AI)0.4%Not measuredOnly Claude Sonnet 5 measured
Finance Agent (Vals AI)53.9%Not measuredOnly Claude Sonnet 5 measured
Tax Agent Bench (Vals AI)29.4%Not measuredOnly Claude Sonnet 5 measured
Legal Research Bench (Vals AI)41.8%Not measuredOnly Claude Sonnet 5 measured
Excel Modeling Benchmark (Vals AI)66.3%Not measuredOnly Claude Sonnet 5 measured
Terminal-Bench-Science (Vals AI)5.7%Not measuredOnly Claude Sonnet 5 measured
τ²-Bench TelecomNot measured65.5%Only Gemma 4 31B measured
APEX-Agents54.5%Not measuredOnly Claude Sonnet 5 measured
Vending-Bench 2$6,378Not measuredOnly Claude Sonnet 5 measured
Neither model has a result on the other 19 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index90
Reasoning benchmarks for Claude Sonnet 5 and Gemma 4 31B
BenchmarkClaude Sonnet 5Gemma 4 31BLeader
GPQA Diamond88.9%Not measuredOnly Claude Sonnet 5 measured
LiveBench reasoning88.7%68.3%Claude Sonnet 5
MMMU Pro (Vals AI)83.0%Not measuredOnly Claude Sonnet 5 measured
GPQA Diamond (Artificial Analysis run)91.1%85.7%Claude Sonnet 5
Humanity's Last Exam (Artificial Analysis run)41.3%23.6%Claude Sonnet 5
GPQA Diamond (Epoch AI run)90.5%75.8%Claude Sonnet 5
SimpleBench60.6%Not measuredOnly Claude Sonnet 5 measured
Chess puzzles45.0%Not measuredOnly Claude Sonnet 5 measured
Mystery game puzzles35.0%Not measuredOnly Claude Sonnet 5 measured
LMArena Text: hard prompts14611448Claude Sonnet 5
LMArena Text: expert14891464Claude Sonnet 5
LMArena Text: hard prompts in English14641456Claude Sonnet 5
LMArena Vision: diagrams12931283Claude Sonnet 5
LMArena Vision: homework13111310Claude Sonnet 5
Kagi LLM BenchmarkNot measured63.5%Only Gemma 4 31B measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Claude Sonnet 5 and Gemma 4 31B
BenchmarkClaude Sonnet 5Gemma 4 31BLeader
OTIS Mock AIME94.7%73.3%Claude Sonnet 5
FrontierMath, tiers 1 to 365.6%Not measuredOnly Claude Sonnet 5 measured
FrontierMath, tier 429.3%Not measuredOnly Claude Sonnet 5 measured
ProofBench77.0%Not measuredOnly Claude Sonnet 5 measured
LMArena Text: math14671463Claude Sonnet 5
LMArena Text: mathematical work14811465Claude Sonnet 5
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index51
Knowledge benchmarks for Claude Sonnet 5 and Gemma 4 31B
BenchmarkClaude Sonnet 5Gemma 4 31BLeader
MMLU Pro87.5%Not measuredOnly Claude Sonnet 5 measured
LegalBench (Vals AI)83.9%Not measuredOnly Claude Sonnet 5 measured
CaseLaw (Vals AI)Not measured52.6%Only Gemma 4 31B measured
CorpFin (Vals AI)67.0%Not measuredOnly Claude Sonnet 5 measured
TaxEval (Vals AI)75.6%Not measuredOnly Claude Sonnet 5 measured
MortgageTax (Vals AI)70.0%61.4%Claude Sonnet 5
MedCode (Vals AI)47.5%Not measuredOnly Claude Sonnet 5 measured
SimpleQA Verified33.7%10.4%Claude Sonnet 5
LMArena Text: science14601457Claude Sonnet 5
LMArena Text: medicine and healthcare14421451Gemma 4 31B
LMArena Text: legal and government14541438Claude Sonnet 5
LMArena Text: business and finance14361430Claude Sonnet 5
FACTS Benchmark SuiteNot measured45.3%Only Gemma 4 31B measured
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index10
Web design benchmarks for Claude Sonnet 5 and Gemma 4 31B
BenchmarkClaude Sonnet 5Gemma 4 31BLeader
Design Arena: websites1274Not measuredOnly Claude Sonnet 5 measured
Design Arena: UI components1280Not measuredOnly Claude Sonnet 5 measured
Design Arena: game dev1278Not measuredOnly Claude Sonnet 5 measured
Design Arena: data viz1251Not measuredOnly Claude Sonnet 5 measured
Design Arena: 3D1261Not measuredOnly Claude Sonnet 5 measured
Design Arena: all code categories1276Not measuredOnly Claude Sonnet 5 measured
Design Arena: SVG1193Not measuredOnly Claude Sonnet 5 measured
Design Arena: ASCII art1207Not measuredOnly Claude Sonnet 5 measured
LiveBench design82.0%58.4%Claude Sonnet 5
GeneralLike-for-likePublic boards, shown as published, kept out of the index1710
General benchmarks for Claude Sonnet 5 and Gemma 4 31B
BenchmarkClaude Sonnet 5Gemma 4 31BLeader
LiveBench data analysis71.7%53.3%Claude Sonnet 5
Public Benefits Bench (Vals AI)66.0%Not measuredOnly Claude Sonnet 5 measured
SAGE (Vals AI)48.9%55.0%Gemma 4 31B
MedScribe (Vals AI)76.0%Not measuredOnly Claude Sonnet 5 measured
Vals Multimodal Index68.8%Not measuredOnly Claude Sonnet 5 measured
IFBenchNot measured75.6%Only Gemma 4 31B measured
Long context reasoning (AA-LCR)82.0%69.7%Claude Sonnet 5
DTBench92.5%82.7%Claude Sonnet 5
LMCA50.0%39.3%Claude Sonnet 5
Surface Evolver Bench60.0%30.6%Claude Sonnet 5
LMArena Text14421443Gemma 4 31B
LMArena Text: instruction following14521433Claude Sonnet 5
LMArena Text: creative writing14161417Gemma 4 31B
LMArena Vision12731276Gemma 4 31B
LMArena Text: English14501451Gemma 4 31B
LMArena Text: non-English14311430Claude Sonnet 5
LMArena Text: Chinese14781475Claude Sonnet 5
LMArena Text: German1442Not measuredOnly Claude Sonnet 5 measured
LMArena Text: Japanese1422Not measuredOnly Claude Sonnet 5 measured
LMArena Text: Korean1412Not measuredOnly Claude Sonnet 5 measured
LMArena Text: French14631436Claude Sonnet 5
LMArena Text: Spanish14381442Gemma 4 31B
LMArena Text: Russian14501460Gemma 4 31B
LMArena Text: Polish14251433Gemma 4 31B
LMArena Text: multi-turn14531452Claude Sonnet 5
LMArena Text: longer queries14621446Claude Sonnet 5
LMArena Text: writing and language14361432Claude Sonnet 5
LMArena Text: entertainment and media14111405Claude Sonnet 5
LMArena Vision: English12751271Claude Sonnet 5
LMArena Vision: Chinese13311326Claude Sonnet 5
LMArena Vision: reading text12881282Claude Sonnet 5
LMArena Vision: humor12611280Gemma 4 31B
LMArena Vision: captioningNot measured1218Only Gemma 4 31B measured
LMArena Vision: recognizing thingsNot measured1226Only Gemma 4 31B measured
LMArena Vision: creative writing12461285Gemma 4 31B
LMArena Document14661425Claude Sonnet 5
Neither model has a result on the other 10 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Sonnet 5 and Gemma 4 31B
BenchmarkClaude Sonnet 5Gemma 4 31BLeader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

Claude Sonnet 5$0.0070Fits in one request
Gemma 4 31B$0.0003Fits in one request

Gemma 4 31B costs less

Repository review

50K input + 3K output tokens

Claude Sonnet 5$0.130Fits in one request
Gemma 4 31B$0.0082Fits in one request

Gemma 4 31B costs less

Agent loop

200K input + 10K output tokens

Claude Sonnet 5$0.500Fits in one request
Gemma 4 31B$0.032Fits in one request

Gemma 4 31B costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of Claude Sonnet 5 and Gemma 4 31B
SpecificationAnthropic Claude Sonnet 5Google Gemma 4 31B
MakerAnthropicGoogle
WeightsNo public weights listedOpen weights
ReleasedJune 30, 2026April 2, 2026
Context window1M262K
Input $/Mtok$2.00$0.14
Output $/Mtok$10.00$0.40
Coding index57.739.0
Independent measurements behind it62
Cost per solved task$1.87Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Sonnet 5 better than Gemma 4 31B for coding?

Pick Claude Sonnet 5 for coding: it scores 57.7 on the Vibe Coding Index against 39.0 for Gemma 4 31B. Pick Gemma 4 31B for output tokens 25.0x cheaper ($0.40 vs $10.00 per million) and work measured by LMArena Text: medicine and healthcare or SAGE (Vals AI), where it leads.

Which is cheaper, Claude Sonnet 5 or Gemma 4 31B?

Claude Sonnet 5 costs $2.00 per million input tokens and $10.00 per million output tokens; Gemma 4 31B costs $0.14 and $0.40. Cost per solved task is known for Claude Sonnet 5 only.

Which has the bigger context window, Claude Sonnet 5 or Gemma 4 31B?

Claude Sonnet 5, with 1M tokens against 262K.

How many benchmarks is the Claude Sonnet 5 vs Gemma 4 31B comparison based on?

63 benchmarks have a result for both models as of October 21, 2026. Claude Sonnet 5's coding index rests on 6 independent benchmarks and Gemma 4 31B's on 2. Where only one model has a result, the page says so instead of naming a winner.

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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/claude-sonnet-5-vs-gemma-4-31b-it">LLMBenchmark.ai, Claude Sonnet 5 vs Gemma 4 31B</a></p>